Evidence map›Paper›PMID 34084456›Full record

ArticleClinical kidney journal2021

Feasibility of evaluation of the natural history of kidney disease in the general population using electronic healthcare records.

Faye Cleary, David Prieto-Merino, Sally Hull, Ben Caplin, Dorothea Nitsch

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Faye ClearyDepartment of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Heath, London School of Hygiene and Tropical Medicine, London, UK.
David Prieto-MerinoDepartment of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Heath, London School of Hygiene and Tropical Medicine, London, UK.
Sally HullClinical Effectiveness Group, Centre for Primary Care and Public Health, Queen Mary University of London, London, UK.
Ben CaplinDepartment of Renal Medicine, University College London Medical School, London, UK.ORCID https://orcid.org/0000-0001-9544-164X
Dorothea NitschDepartment of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Heath, London School of Hygiene and Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBQueen Mary University of London · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge about the nature of long-term changes in kidney function in the general population is sparse. We aim to identify whether primary care electronic healthcare records capture sufficient information to study the natural history of kidney disease.

methodsThe National Chronic Kidney Disease Audit database covers ∼14% of the population of England and Wales. Availability of repeat serum creatinine tests was evaluated by risk factors for chronic kidney disease (CKD) and individual changes over time in estimated glomerular filtration rate (eGFR) were estimated using linear regression. Sensitivity of estimation to method of evaluation of eGFR compared laboratory-reported eGFR and recalculated eGFR (using laboratory-reported creatinine), to uncover any impact of historical creatinine calibration issues on slope estimation.

resultsTwenty-five per cent of all adults, 92% of diabetics and 96% of those with confirmed CKD had at least three creatinine tests, spanning a median of 5.7 years, 6.2 years and 6.1 years, respectively. Median changes in laboratory-reported eGFR (mL/min/1.73 m

conclusionsEvaluation of long-term changes in renal function will be possible in those at greatest risk if methods are identified to overcome creatinine calibration problems. Bias will be reduced by focussing on patients with confirmed CKD.

Indexed as

CKDCKD progressioncreatinineelectronic healthcare recordsprimary care

Identifiers

PMID34084456
PMCPMC8162846
OpenAlexW3094440214

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.